Confidence-Aware Ensemble and Long-Word Refinement for Artistic Text Recognition
A confidence-aware ensemble that combines SVTRv2, PARSeq, and MAERec after fine-tuning on the official training split is proposed, and an error analysis of all remaining mistakes shows that 48% are associated with labeling issues, visual ambiguity, or illegible samples, highlighting the value of diagnostic reporting fo...